In the view of the problem such as blindness, spontaneity, lag, in the decision of supermarket extension and businesses expansion, we proposed the data mining algorithms based on evolutionary computation in this paper. The algorithms is based on the traditional data mining technology, and combined with the advantages of evolutionary algorithms. Choosing the fitness function in evolutionary algorithms, then optimizing and filtrating the data from the database, combined with the fact of the supermarket decision, data extraction and visualization operations can be made to improve the efficiency of the data mining, in odor to serve the decision-making, and bring greater benefits to the supermarket and the businesses.